Senior/Staff Software Engineer (Agentic Platform)

• We’re looking for an experienced Software Engineer to help architect and scale the agentic systems at the core of the Axion platform. This is a senior individual contributor role: you’ll own design decisions that determine how our agents reason, act, and integrate with enterprise data, working in close partnership with Engineering and Product leadership
• The hard problem is the data—customer, service, field, telematics, warranty, and aftermarket signals that are disconnected and mostly unstructured—and the bar is high, because an agent’s conclusion can drive a recall or a redesign
• Own technical architecture for our agentic systems—orchestration, tool use, memory, retrieval, evaluation, observability, and the guardrails that keep agents reliable when the input data is noisy and incomplete
• Build and harden the reasoning layer and infrastructure that take customer data from ingestion through agent-driven reasoning to root-cause insight, at the scale and reliability manufacturers require
• Establish rigorous evaluation and testing for non-deterministic systems—measuring agent accuracy against expert-validated ground truth and the outcomes customers track: detection rates, investigation speed, and warranty cost
• Partner across Engineering and Product to shape the technical vision and roadmap for the agent platform
• Raise engineering standards through code review, design docs, and the technical direction others build on
• Mentor engineers on agentic patterns and system design, unblocking hard problems and sharing context generously

Benefits

• Employee stock option program
• Health Savings Account (HSA)
• Unlimited paid time off (PTO)
• Relocation support
• Commuter benefits
• Comprehensive healthcare coverage (100% of employee premiums covered and 70% for dependents)
• 12 weeks of paid parental leave (birthing parents)
• Daily lunch credit when you’re in the office (around $20/day)
• 401(k) plan with optional supplemental life, disability, and more

• 4+ years of software engineering experience, with recent, hands-on focus on building agentic systems (LLM orchestration, tool/function calling, multi-step and multi-agent reasoning, retrieval and context engineering, and interoperability protocols such as MCP, or comparable work).
• The ideal candidate thrives in early stage companies, has deep experience building complex, data-intensive systems, and knows what it takes to make non-deterministic, LLM-driven systems reliable in production
• A firm believer in a “Data First” philosophy who can make sound decisions in ambiguous, fast-moving situations
• A track record of technical mentorship; you make the engineers around you better without needing formal authority
• Experience turning messy, heterogeneous real-world data into something a model can reason over reliably
• A strong executor in fast-paced environments who can balance shipping MVPs with a commitment to production-grade systems
• Demonstrated ability to design and own complex distributed systems, ideally in data-intensive B2B SaaS environments
• Hands-on fluency with the modern agentic stack and a strong intuition for the failure modes of non-deterministic, LLM-driven systems—plus the evaluation and observability practices needed to tame them
• You don’t need constant direction — you create momentum. You take ownership for outcomes, and you expect the same from those around you
• You value feedback — giving it, receiving it, and acting on it — and you see collaboration as a competitive advantage, not a burden. You’re low-ego but high-agency: you care about winning as a team more than being right individually. You move quickly, communicate directly, and make decisions grounded in impact and data
• You’re a builder and operator who thrives in fast-moving, high-accountability environments. You take pride in getting things done — thoughtfully, efficiently, and without drama. You’re energized by ambiguity, skilled at bringing clarity, and comfortable flexing between strategy and execution